Journal of Applied Statistics: Environmental Statistics and Data Science (jas)

Journal of Applied Statistics: Environmental Statistics and Data Science provides a forum for communication among applied statisticians, data scientists, and practitioners exploring research in all areas relating to climate statistics, data science, environmental statistics, ecological statistics, and spatial statistics, broadly defined and including multidisciplinary approaches. The journal is interested in receiving papers in the following topics relating to the Sustainable Development Goals (SDGs): Water quality and monitoring of oceans (SDG6 and SDG14) Food security (SDG2) Combating climate change (SDG13) Sustainable forest management (SDG15) The journal will publish rigorous, clear, and accessible papers on methods developed for real-life statistical problems, and which are anticipated to have a broad scientific impact. Purely theoretical papers are avoided but those on theoretical developments which clearly exhibit concrete applied potential in the fields covered may be considered. Papers demonstrating creative development of statistical techniques based on a true challenge in a subject area are strongly encouraged. The Journal publishes perspective articles, original research papers, review articles, and short application notes. Review articles should focus on one or more current statistical research methods that have been widely used by other discipline(s), along with applications and a discussion for future directions. Application notes should at least illustrate innovative application of existing statistical method(s) to a data challenge in any discipline with convincing findings.

Journal of Applied Statistics: Environmental Statistics and Data Science (jas) is :-

• International, Peer-Reviewed, Open Access, Refereed, climate statistics, data science, environmental statistics, ecological statistics, spatial statistics, Food security, Combating climate change , Online or Print , Quarterly Journal

• UGC Approved, ISSN Approved: P-ISSN P-ISSN: 2998-4688, E-ISSN: 2998-4696, Established: 2025,
• Provides Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE